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Exact(5)
The rate of population spread predicted by the model corresponded well with the numerical solutions.
In addition, FE numerical results of the test model corresponded well with the experimental results.
As a result of our analysis using the sigmoid Emax model, the fitted curve of our model corresponded well to the actual measurement value (Figure 5).
Spatial prediction of Qs using this model corresponded well with the observed hybrid areas.
The derived model corresponded well with experimental data from batch fermentations in which the stripping rates and substrate concentrations were varied.
Similar(54)
The model corresponds well with experimental data at ambient temperature.
The model corresponds well with a simulation model based on an existing plant.
The model corresponds well with the nature of the empirical evidence.
Our Simplified cAMP Model B shows that the latter scenario is more likely, as this model corresponds well with observable phenotypes.
Logistic regression produced the following model: (4a) y (N ) = 1 1 + e α where (4b) α = − 0.2387N maint − 0.0356N exchpart + 0.4249N exchpair + 0.2122N new + 0.1467 To determine whether this model corresponds well to the DBMM assignments, a receiver-operating characteristic curve (ROC) curve was determined.
The results of the modelling corresponded well with observed values, provided an optimised value was used for the average wet-canopy evaporation rate.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com